{"id":"W3209112761","doi":"","title":"Canada's next uranium hot spot - Labrador's Central mineral belt","year":2006,"lang":"en","type":"article","venue":"Canadian mining journal","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Uranium; Geochemistry; Geology; Mining engineering; Mineral; Hot spot (computer programming); Archaeology; Geography; Metallurgy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002915248,0.0003052447,0.0003702223,0.001110694,0.005763713,0.002930071,0.0007623197,0.001026886,0.01509275],"category_scores_gemma":[0.0005117689,0.0001966829,0.0002701261,0.001434965,0.0008062046,0.0005547411,0.001377329,0.0008456216,0.001061736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02197234,"about_ca_system_score_gemma":0.0542188,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9834176,"about_ca_topic_score_gemma":0.9974524,"domain_scores_codex":[0.9996241,0.000009895351,0.000004745406,0.0000293445,0.0001350705,0.0001968772],"domain_scores_gemma":[0.9993735,0.00001592953,0.00002581952,0.00001385718,0.0003204769,0.0002504085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00101326,0.000240045,0.208799,0.0004757932,0.0001677844,0.003794941,0.004361334,0.002116577,0.01107475,0.01820877,0.5497587,0.1999891],"study_design_scores_gemma":[0.00006014247,0.00007904998,0.3577211,0.0001483649,0.00005451247,0.000668054,0.009454495,0.001358789,0.002431012,0.001298826,0.6266634,0.00006216051],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6977987,0.008692538,0.002057565,0.04987665,0.001489809,0.0002855182,0.01838966,0.0009182669,0.2204912],"genre_scores_gemma":[0.801652,0.001912323,0.00337809,0.004431346,0.00009777017,0.0000383973,0.004067948,0.0001075583,0.1843146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02197234,"threshold_uncertainty_score":0.1594213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009570574298557547,"score_gpt":0.1769746299326817,"score_spread":0.1674040556341242,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}